Full-Time

Staff Engineer

Enterprise Integration

Posted on 4/24/2026

Aurora Innovation

Aurora Innovation

1,001-5,000 employees

Licenses autonomous driving technology for vehicles

Compensation Overview

$189k - $274k/yr

+ Annual Bonus + Equity Compensation

Mountain View, CA, USA

Hybrid

Three days on-site per week required.

Category
Software Engineering (1)
Required Skills
Python
webhooks
Ruby
Java
TypeScript
Microservices
AWS
Go
JIRA
LangGraph
Terraform
REST APIs
LangChain
DevOps
Serverless
Requirements
  • 8+ years of experience in enterprise integration, solutions architecture, or integration-focused software engineering, with a track record of establishing and scaling enterprise integration practices for complex, large-scale environments.
  • Deep hands-on experience with enterprise integration platforms (Workato, MuleSoft, Boomi, or equivalent) including custom connector development, recipe design, microservices, testing, and CI/CD for integration deployments.
  • Production-grade integration experience across enterprise systems and collaboration platforms, with strong command of enterprise integration patterns (EIP) such as content-based routing, message translation, splitter/aggregator, and idempotent consumer.
  • Deep understanding of event-driven architectures, API design (REST, webhooks), and cloud-native integration patterns. Experience with AWS serverless and server-based services is a strong plus.
  • Strong understanding of enterprise integration security: API authentication patterns, secure credential and secrets management, data privacy and PII handling, and least-privilege access controls for integrations and their consumers.
  • Cost-conscious integration mindset: experience designing integrations with financial discipline, understanding the cost implications of pattern choices across iPaaS and cloud platforms.
  • Proficiency in one or more of: Python, Java, TypeScript, Ruby, or Go. Experience with Infrastructure as Code (Terraform) and CI/CD pipelines for infrastructure and integration deployments.
  • Familiarity with agentic AI consumption models, including agentic frameworks (e.g., LangChain, LangGraph) and protocols such as MCP. Willingness to stay current as the space evolves.
  • Experience working with iPaaS vendors, platform, cloud, and security teams to define integration architecture blueprints, govern integration delivery across domain teams, and establish citizen developer models with clear guardrails for self-service adoption.
  • Strong communication skills with the ability to engage non-engineering stakeholders (Finance, HR, Supply Chain, Fleet Ops), translate business requirements into technical architecture, and prioritize competing demands. Demonstrated staff-level technical leadership: setting architectural vision, leading design reviews, documenting architectural decisions, and driving technology adoption.
Responsibilities
  • Architect, build, and scale enterprise integration solutions connecting systems of record (ERP, HRIS, TMS, Fleet/Driver Operations, Supply Chain, Finance, CRM) and enterprise productivity and collaboration platforms (Slack, Google Workspace, Jira) using iPaaS platforms (Workato preferred; MuleSoft experience also valued) and API and service-driven patterns. Hands-on work spans data mapping, schema transformation, connector development, error handling across system boundaries, and authoring custom software where platform capabilities don’t suffice.
  • Define and own the enterprise integration architecture blueprint: layered integration design with clear system abstraction, process orchestration, and consumer-facing API contracts. Establish recipe and connector standards, testing strategies, governance frameworks, and citizen developer guardrails with clear engineering boundaries to achieve organizational scale, reduce tech debt, and maintain sustainable integration delivery velocity.
  • Design system-to-system integrations with observability, error management, reliability, security, cost efficiency, and idempotency as first-class concerns. Apply cost-conscious design choices to scale without incurring unnecessary platform and infrastructure spend.
  • Develop and maintain custom Workato connectors, recipes, and testing suites. Own CI/CD pipelines for integration deployments, ensuring consistent quality and release discipline across the integration platform. Leverage GenAI tools to accelerate integration development, testing, and documentation.
  • Partner with IT, driver engineering and services, cloud/platform engineering, security, and data platform teams to ensure integration architecture aligns with enterprise-wide technical standards, infrastructure capabilities, and security requirements.
  • Partner with iPaaS vendors and internal platform teams to manage the integration technology stack, drive roadmap alignment, and ensure the organization extracts maximum value from its tooling investments.
  • Collaborate with business stakeholders across Finance, HR, Legal, Fleet Operations, Supply Chain, and Commercial Operations to identify automation opportunities, prioritize the integration backlog, and translate requirements into integration-driven solutions. Manage competing demands across domain teams and build a clear integration roadmap aligned to business priorities.
  • Provide hands-on technical leadership as a staff-level engineer: define architectural vision, lead architecture reviews, create integration playbooks and architectural decision records, set engineering standards, and drive adoption across teams.
  • Enable AI workflows to leverage enterprise integrations through callable recipes, versioned API contracts, and discovery protocols such as MCP, whether hosted on the iPaaS platform or the AWS ecosystem. Support human-in-the-loop and agent-to-agent orchestration patterns.
  • Evaluate emerging integration, workflow automation, and AI-enablement technologies, run proof-of-concepts, and make build-vs-buy recommendations with clear cost modeling to engineering and business leadership.
Desired Qualifications
  • Advanced experience with Workato or MuleSoft, including platform administration, scaling workflow automation across an enterprise, and real-time messaging and streaming patterns for integration workloads.
  • Experience integrating across complex enterprise domains (Finance, Supply Chain, HR, Fleet Operations) at scale, with a focus on event-driven architecture, microservices, performance, reliability, and operational excellence. Experience with AWS platform services and Infrastructure as Code (Terraform) for integration infrastructure is a plus.
  • Experience defining and operating enterprise integration governance: recipe catalogs, versioning strategies, domain ownership models, integration roadmap planning, and observability standards at scale.
  • Awareness of evolving consumption models for enterprise integrations, including AI-enabled workflows, and a commitment to staying current with emerging integration and automation technologies.

Aurora Innovation develops and licenses self-driving technology for vehicles. Its main product, the Aurora Driver, is embedded into partner vehicles to move people and goods autonomously, serving logistics, ridesharing, and fleet-management needs. How it works: The Aurora Driver combines a sensor suite—notably FirstLight Lidar—with software for perception, planning, and control. The system is tested extensively with a Virtual Testing Suite to ensure reliability before deployment. Revenue comes from licensing the Driver as a service to partners, along with ongoing support and updates. How it differs from competitors: Aurora emphasizes its high-performance FirstLight Lidar, a strong safety culture, and a collaborative business model that partners with vehicle makers, logistics firms, and network operators to accelerate commercialization of autonomous driving. Goal: To make transportation safer and more efficient by expanding access to autonomous mobility and logistics solutions.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Pittsburgh, Pennsylvania

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • McLane partnership launches driverless Texas routes post-280,000 mile pilot.
  • Volvo route expands 200 miles to Oklahoma City with five-day supervised hauls.
  • $1.3B liquidity funds 200+ driverless trucks by end-2026 for $80M run-rate.

What critics are saying

  • Waymo Via captures Sun Belt contracts with 50+ driverless routes since April 2026.
  • $223M Q1 loss and $159M cash burn exhaust $1.3B by mid-2028 without profitability.
  • NHTSA probes FirstLight Lidar false positives, halting testing for six months.

What makes Aurora Innovation unique

  • Aurora Driver powers L4 autonomous trucks for Volvo VNL and multiple OEMs.
  • FirstLight Lidar detects pedestrians 11 seconds sooner than humans at highway speeds.
  • Virtual Testing Suite enables extensive off-road validation before real-world deployment.

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Benefits

Medical, Vision, Life Insurance

Paid leave

Vacation, Holidays & Sick Time

LinkedIn Learning

Aurora Academy

401(k)

Commuter Benefits

Flexible Spending Account

Onsite Food

PerkSpot

Working from Home Support

Emotional & Physical Wellness

Employee Assistance Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-2%
Yahoo Finance
Mar 31st, 2026
Aurora Innovation shares drop 17% in a month despite 192% three-year gain as investors weigh $8B valuation

Aurora Innovation has raised investor attention after its share price fell to $3.88, giving the company a market value of approximately $8 billion. The stock declined 5.83% in one day and 17.09% over 30 days, though three-year total shareholder returns remain strong at 192%. The autonomous vehicle technology company is pre-revenue, reporting just $3 million in revenue against losses of $816 million. One valuation narrative suggests a fair value of $9.79, implying the stock is 60% undervalued, based on expectations of aggressive revenue growth and margin expansion from deploying next-generation hardware designed for lower costs. However, Aurora's price-to-book ratio of 3.5 times sits above the US software industry average of 2.5 times, complicating the valuation picture. Future share dilution is also expected.

Yahoo Finance
Mar 31st, 2026
Aurora Innovation (AUR) expands driverless truck operations across Southern US.

Aurora Innovation (AUR) expands driverless truck operations across Southern US. Sheryar Siddiq Aurora Innovation (NASDAQ:AUR) ranks among the most active mid-cap stocks to invest in. On March 5, Aurora Innovation (NASDAQ:AUR) outlined its strategy at the Morgan Stanley Technology, Media, and Telecom Conference 2026, emphasizing rapid improvements in autonomous trucking and prospects for large-scale deployment. The company expects to generate $80 million in revenue by the end of 2026, with breakeven gross margins and positive free cash flow by 2028. Aurora Innovation (NASDAQ:AUR) boasts a robust balance sheet, with $1.5 billion in capital to support growth. Aurora Innovation (NASDAQ:AUR) has already begun driverless truck operations, with intentions to expand to hundreds of vehicles across the Southern US by 2026. Its second-generation hardware is projected to reduce costs by 50% and triple resilience, resulting in better unit economics. In addition, the company is expanding through partnerships with Roush Industries and Detmar Logistics, as well as exploring adjacent markets such as ride-hailing and deliveries. Aurora Innovation (NASDAQ:AUR) is a self-driving technology company. It develops and operates Aurora Driver, which is an integrated self-driving platform for freight trucks and commercial vehicles. While Topforeignstocks acknowledge the potential of AUR as an investment, Topforeignstocks believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see its free report on the best short-term AI stock.

Insider Monkey
Mar 27th, 2026
Aurora Innovation (AUR) presented at 2nd Annual CG Virtual Sustainability Summit, here's what you should know.

Aurora Innovation (AUR) presented at 2nd Annual CG Virtual Sustainability Summit, here's what you should know. Published on March 27, 2026 at 5:20 pm by talha qureshi in news. Aurora Innovation, Inc. (NASDAQ:AUR) is one of the Best Long-Term Penny Stocks to Buy According to Wall Street Analysts. On March 12, Aurora Innovation, Inc. (NASDAQ:AUR) presented at the 2nd Annual CG Virtual Sustainability Summit, where the company highlighted its focus on autonomous trucking. Management emphasized that they are prioritizing the autonomous trucking industry over ride-hailing due to the $1 trillion market opportunity it presents. For context, the ride-hailing industry sits at $60 to $70 billion. Management noted that the company's trucks are achieving 15% fuel efficiency gain, and drivers earn roughly three times more than gig workers, underscoring the cost-saving potential of replacing human labor. To shift its focus, Aurora Innovation, Inc. (NASDAQ:AUR) has partnered with PACCAR and Volvo, which together control around 50% of the market. Management noted that this positions Aurora to capture a significant share in a sector ripe for disruption through automation. In terms of operations, the company has begun lineside installation of its Driver kit on Volvo's pre-production line and is building a second fleet using International stock trucks, with partner Roush producing 20 units weekly. Management highlighted that they target a 50 billion vehicle miles traveled serviceable addressable market (SAM) by early 2028. Aurora Innovation (NASDAQ:AUR) is a self-driving technology company. It develops and operates Aurora Driver, which is an integrated self-driving platform for freight trucks and commercial vehicles. This platform combines several self-driving hardware, software, and data solutions to operate different types of vehicles. While we acknowledge the risk and potential of AUR as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than AUR and that has 10,000% upside potential, check out our report about this cheapest AI stock.

The Autonomous Vehicle Industry Association
Mar 26th, 2026
Research & Discoveries (R&D): what Self-Driving Freight means for safety, jobs, and your grocery bill.

Research & Discoveries (R&D): what Self-Driving Freight means for safety, jobs, and your grocery bill. March 26, 2026 By Cody Uhing, Director of Communications, Autonomous Vehicle Industry Association Academics and experts around the world are studying how autonomous vehicles can improve safety, enhance mobility, and create new economic opportunities, among other transformative benefits. AVIA's Research & Discoveries (R&D) Series highlights these reports' findings about how AVs can create a safer and more mobile world. Key takeaways: - Autonomous trucks could save up to 490 lives and prevent 8,800 injuries on U.S. highways every year. - A more efficient freight sector means lower prices for American households - an estimated $9 billion in additional purchasing power annually. - The industry already supports 17,000 jobs and is creating a new generation of skilled work that does not require a college degree. A new report from Steer Group, in partnership by Aurora Innovation, offers one of the most comprehensive assessments to date of what self-driving freight could mean for America's economy, workforce, and roads. The study, Economic Impacts of Self-Driving Freight in the U.S., models the effects of Level 4 autonomous trucking on medium- and long-haul freight routes through 2035, examining three adoption scenarios: Conservative, Moderate, and Accelerated. Need to know. Self-driving freight technology is not a distant proposition. AVIA members, including Aurora, Gatik, Kodiak, Plus AI, Torc, Stack AV, Volvo Autonomous Solutions, and Waabi are already operating or piloting autonomous trucks on U.S. highways. The Steer analysis finds that even under a moderate adoption scenario, the technology could cover 8 percent of U.S. truck freight by 2035. Under an accelerated scenario, that figure reaches 15 percent, representing 170,000 self-driving trucks traveling 33 billion miles annually. Roadway Safety Every year, 5,300 people are killed in crashes involving large trucks in the United States, according to the National Highway Traffic Safety Administration. Large trucks account for 1 in 8 fatal crashes on U.S. roads, despite making up a small share of total vehicles. The Federal Motor Carrier Safety Administration has found that when a truck is the critical reason for a crash, 87 percent of the time the cause is driver error: inattention, poor decision-making, fatigue, or impairment. Automated driving systems address the root causes of these accidents directly. They maintain attention 100 percent of the time, react to hazards faster than a human driver, and can detect obstacles at distances a person behind the wheel cannot. The available safety evidence from deployed autonomous vehicles is encouraging. Across nearly 125 million fully autonomous miles operated in San Francisco, Los Angeles, Phoenix, and Austin, Waymo has achieved a 90 percent reduction in serious and fatal crashes compared to an average human driver, and an 81 percent reduction in injury crashes. While robotaxis operate in urban environments distinct from interstate freight corridors, this track record provides a meaningful baseline for what the technology can do. Steer's modeling applies a conservative reduction rate to freight-specific conditions. Under the accelerated scenario by 2035, self-driving trucks could avoid 490 fatalities, 8,800 injuries, and 23,000 damage-only crashes annually. Measured against U.S. Department of Transportation cost-benefit guidance, those safety gains represent $9.4 billion in economic value per year. Fuel efficiency improvements from smoother autonomous driving would additionally reduce NOx emissions by 10,000 short tons and particulate matter (PM2.5) by 600 tons per year, producing $730 million in annual public health benefits. Stronger supply chains and lower consumer costs. Trucks move more than 60 percent of domestic freight tonnage in the United States and contribute more than $600 billion annually to GDP. It is, in the most literal sense, how the country keeps its shelves stocked. When freight is slow or expensive, those costs eventually appear in the price of groceries, building materials, and consumer goods. Autonomous technology addresses the friction points that make trucking expensive. Federal hours-of-service rules require drivers to take mandatory rest breaks and limit maximum driving time to 11 hours within a 14-hour window. A driver-operated truck making a roughly 1,000-mile run from Fort Worth to Phoenix can cover only about 750 miles before requiring an overnight stop. An autonomous truck making the same trip can drive for more than 18 hours, completing the full run and starting the return journey within a single day. Fleet utilization, the Steer report finds, can more than double. Beyond utilization, self-driving systems improve fuel efficiency through optimized acceleration, deceleration, and speed management. Steer estimates a 13 to 32 percent net energy efficiency improvement under its scenarios, translating to 1.6 billion gallons of fuel saved and $5.7 billion in carrier fuel savings annually under the Accelerated scenario. Improved safety records are also projected to reduce insurance costs by 40 percent, saving carriers $1.4 billion per year. Combined, these operating cost reductions of 15 to 25 percent per mile pass through to consumers. Under the accelerated deployment scenario, Steer projects $9 billion in additional purchasing power for U.S. households by 2035, as lower shipping costs flow into the price of everyday goods. The macroeconomic ripple effect is also material: by enabling greater productivity, specialization, and trade, lower freight costs are projected to generate $6 billion in net additional U.S. GDP annually. Supporting the American workforce. Autonomous freight sometimes prompts concerns about job displacement. The Steer report addresses this directly, and the picture is more nuanced than critics suggest. Of the 33 billion self-driving truck miles projected for 2035, 25 billion reflect growth in freight demand, and not substitution of existing drivers. The report concludes that normal occupational turnover, which runs at roughly 3 percent per year in trucking, can absorb the transition without layoffs. This matters because the industry faces a genuine recruitment challenge: trucking companies will need to hire 1.2 million new drivers over the next decade just to keep pace with demand and retirements, and the average professional truck driver is already over 48 years old. Self-driving freight does not remove trucking jobs. New roles are emerging in engineering, advanced manufacturing, remote operations and monitoring, and maintenance and repair of autonomous systems. According to research by Chamber of Progress cited in the Steer report, 82 percent of AV workers are expected to earn above the median U.S. wage, and many of these positions are accessible to workers without a college degree. The industry already demonstrates this employment model. Today, AV trucking companies support $3.3 billion in total economic output and 17,000 jobs across the United States, with operations concentrated in California, Texas, and Pennsylvania but generating multiplier effects well beyond those states. The policy window is open. The Steer report is notable not only for the scale of benefits it projects but for the clarity of its policy message: these gains require a supportive regulatory environment to materialize. State-by-state variation in autonomous vehicle rules creates uncertainty for carriers and limits the nationwide economic benefits the technology can deliver. Steer explicitly notes that states providing clear authorization for autonomous freight operations are already attracting commercial deployments and the economic activity that comes with them. This is precisely why AVIA has strongly advocated for a federal policy framework on AVs. Only the federal government can establish uniform vehicle design and performance standards that apply across state lines. The SELF DRIVE Act, sponsored by Rep. Bob Latta, and the AMERICA DRIVES Act, sponsored by Rep. Vince Fong, would help provide that framework and enable companies to scale operations nationally and give American industry the certainty it needs to compete. The data from Steer's analysis makes clear what is at stake: hundreds of lives, billions in consumer savings, and a stronger supply chain for the American economy. Read the full report here.

Yahoo Finance
Mar 10th, 2026
Aurora Innovation stock surges 15% as driverless truck fleet set to reach 200 by year-end

Aurora Innovation, an autonomous trucking company, saw its shares rise nearly 15% in February following positive fourth-quarter results. The company plans to expand its driverless fleet from 10 trucks in December 2025 to over 200 by the end of 2026. Management expects revenue to grow from $3 million in 2025 to between $14 million and $16 million in 2026. The Aurora Driver system has also improved its navigation capabilities, including better performance in inclement weather. McKinsey forecasts autonomous heavy-duty trucking in the US could become a $178 billion industry by 2035. However, Aurora's stock remains below $5 per share, down from its November 2021 peak of around $17. Management noted growing momentum for supportive federal and state regulations on driverless trucking operations.

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